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Degradation prediction is important for safety related products to avoid failures. When the degradations of multiple parameters of a product is taken into account, traditional univariate degradation prediction method is not applicable, especially when the parameters are correlated. To cope with this problem, Mahalanobis distance is proposed, to combine multiple parameters into one unified index. Then...
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